常用傻瓜式SQL Server语句,优化数据库

基本都是网络收集来的,有些挺好用,例如查询是否缺索引的语句。

查找出什么语句占内存最高,针对占内存高的语句进行优化

SELECT SS.SUM_EXECUTION_COUNT,

T.TEXT,

SS.SUM_TOTAL_ELAPSED_TIME,

SS.SUM_TOTAL_WORKER_TIME,

SS.SUM_TOTAL_LOGICAL_READS,

SS.SUM_TOTAL_LOGICAL_WRITES

FROM (SELECT S.PLAN_HANDLE,

SUM(S.EXECUTION_COUNT)SUM_EXECUTION_COUNT,

SUM(S.TOTAL_ELAPSED_TIME)SUM_TOTAL_ELAPSED_TIME,

SUM(S.TOTAL_WORKER_TIME)SUM_TOTAL_WORKER_TIME,

SUM(S.TOTAL_LOGICAL_READS)SUM_TOTAL_LOGICAL_READS,

SUM(S.TOTAL_LOGICAL_WRITES)SUM_TOTAL_LOGICAL_WRITES

FROM SYS.DM_EXEC_QUERY_STATS S

GROUP BY S.PLAN_HANDLE

) AS SS

CROSS APPLY SYS.dm_exec_sql_text(SS.PLAN_HANDLE)T

ORDER BY SUM_TOTAL_LOGICAL_READS DESC

  • 选取前10个最耗CPU时间的会话

SELECT TOP 10

[session_id],

[request_id],

[start_time] AS '开始时间',

[status] AS '状态',

[command] AS '命令',

dest.[text] AS 'sql语句',

DB_NAME([database_id]) AS '数据库名',

[blocking_session_id] AS '正在阻塞其他会话的会话ID',

[wait_type] AS '等待资源类型',

[wait_time] AS '等待时间',

[wait_resource] AS '等待的资源',

[reads] AS '物理读次数',

[writes] AS '写次数',

[logical_reads] AS '逻辑读次数',

[row_count] AS '返回结果行数'

FROM sys.[dm_exec_requests] AS der

CROSS APPLY

sys.[dm_exec_sql_text](der.[sql_handle]) AS dest

WHERE [session_id]>50 AND DB_NAME(der.[database_id])='gposdb'

ORDER BY [cpu_time] DESC

  • 执行下面语句就会显示出会话中有多少个worker在等待

SELECT TOP 10

[session_id],

[request_id],

[start_time] AS '开始时间',

[status] AS '状态',

[command] AS '命令',

dest.[text] AS 'sql语句',

DB_NAME([database_id]) AS '数据库名',

[blocking_session_id] AS '正在阻塞其他会话的会话ID',

der.[wait_type] AS '等待资源类型',

[wait_time] AS '等待时间',

[wait_resource] AS '等待的资源',

[dows].[waiting_tasks_count] AS '当前正在进行等待的任务数',

[reads] AS '物理读次数',

[writes] AS '写次数',

[logical_reads] AS '逻辑读次数',

[row_count] AS '返回结果行数'

FROM sys.[dm_exec_requests] AS der

INNER JOIN [sys].[dm_os_wait_stats] AS dows

ON der.[wait_type]=[dows].[wait_type]

CROSS APPLY

sys.[dm_exec_sql_text](der.[sql_handle]) AS dest

WHERE [session_id]>50

ORDER BY [cpu_time] DESC

  • 查询CPU占用高的语句

SELECT TOP 10

total_worker_time/execution_count AS avg_cpu_cost, plan_handle,

execution_count,

(SELECT SUBSTRING(text, statement_start_offset/2 + 1,

(CASE WHEN statement_end_offset = -1

THEN LEN(CONVERT(nvarchar(max), text)) * 2

ELSE statement_end_offset

END - statement_start_offset)/2)

FROM sys.dm_exec_sql_text(sql_handle)) AS query_text

FROM sys.dm_exec_query_stats

ORDER BY [avg_cpu_cost] DESC

  • 查询缺失索引

SELECT

DatabaseName = DB_NAME(database_id)

,[Number Indexes Missing] = count(*)

FROM sys.dm_db_missing_index_details

GROUP BY DB_NAME(database_id)

ORDER BY 2 DESC;

  • 查询缺失索引详细语句

SELECT TOP 10

[Total Cost] = ROUND(avg_total_user_cost * avg_user_impact * (user_seeks + user_scans),0)

, avg_user_impact

, TableName = statement

, [EqualityUsage] = equality_columns

, [InequalityUsage] = inequality_columns

, [Include Cloumns] = included_columns

FROM sys.dm_db_missing_index_groups g

INNER JOIN sys.dm_db_missing_index_group_stats s

ON s.group_handle = g.index_group_handle

INNER JOIN sys.dm_db_missing_index_details d

ON d.index_handle = g.index_handle

ORDER BY [Total Cost] DESC;

猜你喜欢

转载自blog.csdn.net/ch_majia/article/details/83088086